algebra

Causal inference on DAGs Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next 2016-10-26 – 2021-12-18

Learning with conservation laws, invariances and symmetries 2020-04-11 – 2021-12-15

Causality via potential outcomes Neyman-Rubin, counterfactuals, conditional treatment effects, instrumental variables and related tricks 2016-10-26 – 2021-12-10

Causal inference in highly parameterized ML 2020-09-18 – 2021-12-10

Message-passing algorithms in graphical models 2014-11-25 – 2021-12-08

Random rotations 2021-05-18 – 2021-12-01

Jax Julia for python 2020-09-15 – 2021-11-29

Visualising probabilistic graphical models Also related models, such as Neural nets 2018-03-29 – 2021-11-24

External validity Transfer learning, dataset shift, learning under covariate shift, transferable learning, domain adaptation etc 2020-10-17 – 2021-11-03

Interaction effects are probably what we want to estimate 2022-01-25 – 2021-10-28

Random graphical models Causality in amongst confusion 2021-10-26 – 2021-10-28

Spectral graph theory Linear signals on graphs 2014-11-24 – 2021-10-27

Graph neural nets 2020-09-16 – 2021-10-27

Fun with rotational symmetries 2021-01-29 – 2021-10-14

Neural music synthesis 2016-01-15 – 2021-10-14

Fun with determinants Especially Jacobian determinants 2011-04-06 – 2021-10-12

Mathematica 2011-04-06 – 2021-10-08

Multilinear algebra Outer products, tensors, einstein summation 2021-10-08

The Gaussian distribution The probability distribution that you give up and use in the end 2016-06-27 – 2021-10-03

Numerical PDE solvers 2016-03-01 – 2021-10-02

Orthonormal and unitary matrices Energy preserving operators, generalized rotations 2019-10-22 – 2021-09-22

Arpeggiate by numbers Workaday automatic composition and sequencing 2015-01-07 – 2021-09-20

Automatic differentiation in Julia 2016-07-27 – 2021-08-27

Automatic differentiation 2016-07-27 – 2021-08-05

Algebraic probability If you liked it then you prob’ly put a ring on it 2017-06-15 – 2021-06-24

Isotropic random vectors 2011-08-10 – 2021-05-24

Randomized low dimensional projections 2021-03-12 – 2021-05-24

Computational symbolic mathematics Cheating at calculus exams 2016-10-13 – 2021-05-11

Causal inference in the continuous limit 2021-02-17

Partial differential equations 2021-01-27 – 2021-02-01

Tensor decompositions 2016-08-15 – 2020-11-19

Tensor regression 2020-11-19

Efficient factoring of GP likelihoods 2020-10-16 – 2020-10-26

Independence, conditional, statistical 2016-04-21 – 2020-09-13

Causal graphical model reading group 2020 An introduction to conditional independence DAGs and their use for causal inference. 2020-08-30 – 2020-09-03

Causal Bayesian networks Staged tree models, probability trees …Causlan Bayesian networks 2020-11-01 – 2020-09-01

Mathematics of textiles 2019-10-14 – 2020-08-20

Matrix calculus 2018-07-09 – 2020-05-19

MAPLE An OK computer algebra system 2020-05-19

Directed graphical models 2017-09-20 – 2020-05-13

Learning graphical models from data What is independent of what? 2017-09-20 – 2020-04-11

Analysis/resynthesis of audio 2016-01-15 – 2020-04-09

Conditional expectation and probability 2020-02-04

(Reproducing) kernel tricks 2014-08-18 – 2020-01-20

Factor graphs 2019-12-16

Audio source separation 2019-11-04 – 2019-11-26

Tunings 2015-10-29 – 2019-11-18

Inference on graphical models Given what I know about what I know, what do I know? 2017-09-20 – 2019-10-28

Undirected graphical models 2017-09-20 – 2019-10-28

Inner product spaces The most highly developed theory of squaring things 2019-01-01 – 2019-02-11

Normed spaces 2019-01-01 – 2019-01-04

Linear algebra If the thing is twice as big, the transformed version of the thing is also twice as big. {End} 2011-04-06 – 2018-08-07

Probabilistic graphical models Cleaving reality at the joint 2014-08-05 – 2017-09-11

Musical metrics and manifolds 2014-09-26 – 2017-03-27

Functional equations Putting the funk in functions 2017-02-06 – 2017-02-19

Differential geometry, geometric algebra etc 2014-11-27 – 2016-10-13

Kernel approximation 2016-07-27

Matrix norms, divergences, metrics 2016-06-03 – 2016-06-15

Category theory 2011-11-25 – 2016-04-18

Coarse graining 2014-11-11 – 2015-12-02

Elliptical distributions 2015-06-23

Sigma algebras, probability spaces, measure theory The scaffolding of randomness 2015-06-20

Algebra I would like to learn 2014-10-15 – 2014-11-22